FP7Reintegration grant2013–2017

BET-HEDGING BACTERIA · The generality, mechanism, and function of bet-hedging in bacteria

FP7 — People (Marie Curie Actions)

Duration
2013-02-01 → 2017-01-31
EU contribution
€100,000
Participants
1
Scheme
MC-CIG

Lines connect the coordinator with its partners.

Results in brief

The generality, mechanism, and function of bet-hedging in bacteria

This project has enabled the laboratory to set up multiple projects examining noise in gene expression in bacteria. Several publications are submitted or are near to submission. Work has been carried out to examine how the pulsatile dynamics of alternative sigma factors are modulated by specific stress inducers, and the work has been extended to examine how these sigma factors are expressed in biofilms. The researchers have gone on to build simple mathematical models that simulate the dynamic behaviours that are observed in time-lapse movies. The researchers have also set up off the shelf and custom built microfluidic systems, which have been tested in the laboratory. The laboratory is well set up at the Sainsbury Laboratory, University of Cambridge, with 4 time-lapse microscopes and a group size of 12. The group leader is well established, and has received several other grants, as well as having his position at the Sainsbury Lab renewed until at least 2022. In the future the research will lead to an understanding of how and why alternative states are generated in Bacteria. It is hoped that the work can have long-term implications for public health, by allowing an understanding of how heterogeneous transcriptional states enable bacteria to survive in an ever changing and hostile environment. In collaborative work that has been submitted for publication, the researchers have observed stochastic pulsing behaviour in 7 alternative sigma factors under energy stress. They have also gone onto activate each alternative sigma factor by its specific inducer. Preliminary results suggest a wide range of sigma factor pulse dynamics under stress. For example, sigV shows bimodal activation under lyzosyme stress. They have also constructed a simple mathematical model of sigV activation that suggests that the bimodal activity we observe for sigV under lysozyme stress can be explained by a difference in its regulation compared to sigB where we observe frequency modulated pulsing. In sigV regulation, the anti-sigma factor is targeted for degradation under stress, rather than being sequestered as is the case for the anti-sigma factor of sigB. Simple models can show that this difference in regulation can lead to bi-modality in sigV activity. They are now going to test our predictions from this model. In an addition to the goals set out in the original proposal, the researchers have tested whether heterogeneous activation of sigma factors is observed in bacillus biofilms, in order to check that the variability observed in expression dynamics is not due to the artificial conditions in which cells are grown, in small colonies on agarose pads. B. subtilis grows as a biofilm in the wild, so the researchers wished to check whether heterogeneous expression patterns also occur in biofilms. They have discovered that sigB is expressed heterogeneously in biofilms, and the single cell distributions of sigB activity are qualitatively similar to that observed in liquid culture and in agarose pad movies. They also observe a gradient in sigB expression, with the highest level of activity at the top of the biofilm. They have found interesting competition between the sigB pathway and the sporulation pathway, that the authors are now investigating. They researchers have also successfully setup a microfluidics facility at the Sainsbury Laboratory. They have setup two commercially available microfluidic systems, Cellasic and Celldirector, as well as a custom built Mother Machine variant.

Data: CORDIS, © European Union

Project objective

Gene circuits exhibit fluctuations (‘noise’) in the levels of key components such as regulatory proteins. Increasingly, noise appears to play functional roles, e.g it can enable a subpopulation of cells to enter a transient antibiotic-resistant state, enhancing their survival. By ensuring that cells do not all exist in the same transcriptional state, the colony can ‘bet-hedge’ against future environmental changes.Studying bet-hedging is critical to our understanding of how bacterial gene circuits have evolved in an ever changing and hostile environment. It is also important for public health. The spread of infectious diseases can depend on activation of alternative genetic programs, such as competence, general stress response, and antibiotic persistence in bacteria. I seek to understand the mechanisms by which cells enter these alternate states.Previous gene expression assays used bulk averages over thousands of cells, causing individual cell behaviour to be lost. I will develop new approaches to attack this problem. I will use single-cell time-lapse microscopy to examine the generality of bet-hedging (Aim 1). I will construct and screen reporter strains for ~120 key pathways in B. subtilis. After screening for pathways that show variable gene expression, I will use synthetic biology and mathematical modelling techniques to discover the gene circuit mechanisms that allow cells to probabilistically enter these alternative states (Aim 2).In order to test the function of the variable gene expression observed in our reporter strain for each candidate gene I will test whether, upon addition of antibiotics or other stresses, cells that are highly expressing the candidate protein survive or grow faster than cells that are not. I will do this using a novel microfluidic device (Aim 3). This work will lead to a comprehensive understanding of how and why alternative transcriptional states are generated in bacteria.

Original text from CORDIS.

Participants

  • THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE · CAMBRIDGECoordinatorUnited Kingdom

Links

Data: CORDIS, © European Union